Effects of Pseudomonas putida and Rhizophagus irregularis alone and in combination on growth, chlorophyll, carotenoid content and disease complex of carrot
Effects of Pseudomonas putida and Rhizophagus irregularis alone and in combination were observed on Meloidogyne incognita , Alternaria dauci and Rhizoctonia solani disease complex of carrot ( Daucus carota ). Rhizoctonia solani caused a higher reduction in plant growth, chlorophyll and carotenoid co...
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Veröffentlicht in: | Indian phytopathology 2021-09, Vol.74 (3), p.763-773 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Effects of
Pseudomonas putida
and
Rhizophagus irregularis
alone and in combination were observed on
Meloidogyne incognita
,
Alternaria dauci
and
Rhizoctonia solani
disease complex of carrot (
Daucus carota
).
Rhizoctonia solani
caused a higher reduction in plant growth, chlorophyll and carotenoid content followed by
A. dauci
and
M. incognita
. Use of
P. putida
and
R. irregularis
alone and in combination caused a significant increase in plant growth, chlorophyll, carotenoid and reduced disease indices, galling and nematode multiplication. Application of
P. putida
caused a higher increase in plant growth, chlorophyll and carotenoid and reduced disease indices, galling and nematode multiplication greater than
R. irregularis.
Application of
P. putida
plus
R. irregularis
was best for the management of
M. incognita
,
A. dauci
and
R. solani
disease complex. Root colonization of
R. irregularis
/
P. putida
was high when alone but colonisation by both was increased when inoculated together.
M. incognita
,
A. dauci
and
R. solani
reduced root colonization caused by
P. putida
and
R. irregularis.
Disease indices were rated on 1–5 scale. Leaf blight and crown rot indices were nearly 3 when
A. dauci
and
R. solani
were inoculated respectively. Disease indices were nearly 5 when pathogens under study were inoculated in combination of 2 or 3. Application of
P. putida
or
R. irregularis
with
A. dauci
or
R. solani
reduced indices to nearly 2 while both biocontrol agents together reduced indices to nearly 1. In other treatments, disease indices were 2–4 out of 5. The principal components analysis showed significant correlations among various studied attributes with 82.10% overall data variability. |
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ISSN: | 0367-973X 2248-9800 |
DOI: | 10.1007/s42360-021-00346-y |